Exploring spatiotemporal neural dynamics of the human visual cortex.

ABSTRACT: The human visual cortex is organized in a hierarchical manner. Although previous evidence supporting this hypothesis has been accumulated, specific details regarding the spatiotemporal information flow remain open. Here we present detailed spatiotemporal correlation profiles of neural activity with low-level and high-level features derived from an eight-layer neural network pretrained for object recognition. These correlation profiles indicate an early-to-late shift from low-level features to high-level features and from low-level regions to higher-level regions along the visual hierarchy, consistent with feedforward information flow. Additionally, we computed three sets of features from the low- and high-level features provided by the neural network: object-category-relevant low-level fea

SUBMITTER: Yang Y 

PROVIDER: S-EPMC6865718 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature